Robots, insects and swarm intelligence

@article{Sharkey2006RobotsIA,
  title={Robots, insects and swarm intelligence},
  author={Amanda J. C. Sharkey},
  journal={Artificial Intelligence Review},
  year={2006},
  volume={26},
  pages={255-268}
}
  • A. Sharkey
  • Published 1 December 2006
  • Computer Science
  • Artificial Intelligence Review
The aim of this paper is to consider the relationships between robots and insects. To this end, an overview is provided of the two main areas in which insects have been implicated in robotics research. First, robots have been used to provide working models of mechanisms underlying insect behaviour. Second, there are developments in robotics that have been inspired by our understanding of insect behaviour; in particular the approach of swarm robotics. In the final section of the paper, the… 

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References

SHOWING 1-10 OF 64 REFERENCES

Swarm robotics and minimalism

A simple taxonomy of swarm robotics is presented here with the aim of addressing and clarifying questions about how far extensions of the original principles could go and distinguishing subareas of SR based on the emphases and justifications for minimalism and individual simplicity.

Collaboration Through the Exploitation of Local Interactions in Autonomous Collective Robotics: The Stick Pulling Experiment

This article presents an experiment which investigates how collaboration in a group of simple reactive robots can be obtained through the exploitation of local interactions, and shows that, compared to homogeneous groups of robots without communication, heterogeneity and signalling can significantly increase the collaboration rate when there are fewer robots than sticks.

Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines

This book describes the basic concepts and methodologies of evolutionary robotics and the results achieved so far, and describes the clear presentation of a set of empirical experiments of increasing complexity.

Using robots to model animals: a cricket test

  • B. Webb
  • Psychology
    Robotics Auton. Syst.
  • 1995

From local actions to global tasks: stigmergy and collective robotics

This paper presents a series of experiments where a group of mobile robots gather 81 randomly distributed objects and cluster them into one pile through stigmergy, a principle which allows indirect communication between agents through sensing and modification of the local environment which determines the agents’ behaviour.

Cooperative transport by ants and robots

A mobile robot employing insect strategies for navigation

Evolvable Hardware in Evolutionary Robotics

The context of evolvable hardware and evolutionary robotics is reviewed, and a few representative experiments in the field of robotic hardware evolution are presented.

The dynamics of collective sorting robot-like ants and ant-like robots

A distributed sorting algorithm, inspired by how ant colonies sort their brood, is presented for use by robot teams, offering the advantages of simplicity, flexibility and robustness.

Can robots make good models of biological behaviour?

  • B. Webb
  • Biology
    Behavioral and Brain Sciences
  • 2001
It is argued that in building robot models biological relevance is more effective than loose biological inspiration; multiple levels can be integrated; that generality cannot be assumed but might emerge from studying specific instances; abstraction is better done by simplification than idealisation; accuracy can be approached through iterations of complete systems; that the model should be able to match and predict target behaviour; and that a physical medium can have significant advantages.
...